DaRE: A Cross-Domain Recommender System with Domain-aware Feature Extraction and Review Encoder. - Yoonhyuk Choi; Jiho Choi; Taewook Ko; Chongkwon Kim (CoRR, 2021)

Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification. - Yoonhyuk Choi; Jiho Choi; Taewook Ko; Hyungho Byun; Chong-Kwon Kim (CIKM, 2022)

Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation. - Yoonhyuk Choi; Jiho Choi; Taewook Ko; Hyungho Byun; Chong-Kwon Kim (CIKM, 2022)

A Graph Convolution for Signed Directed Graphs. - Taewook Ko (CoRR, 2022)

Flip Initial Features: Generalization of Neural Networks for Semi-supervised Node Classification. - Yoonhyuk Choi; Jiho Choi; Taewook Ko; Chong-Kwon Kim (CoRR, 2022)

Universal Graph Contrastive Learning with a Novel Laplacian Perturbation. - Taewook Ko; Yoonhyuk Choi; Chong-Kwon Kim (UAI, 2023)

Signed Directed Graph Contrastive Learning with Laplacian Augmentation. - Taewook Ko; Yoonhyuk Choi; Chong-Kwon Kim (CoRR, 2023)

Is Signed Message Essential for Graph Neural Networks? - Yoonhyuk Choi; Jiho Choi; Taewook Ko; Chong-Kwon Kim (CoRR, 2023)

Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification. - Yoonhyuk Choi; Jiho Choi; Taewook Ko; Chong-Kwon Kim (CoRR, 2023)

A spectral graph convolution for signed directed graphs via magnetic Laplacian. - Taewook Ko; Yoonhyuk Choi; Chong-Kwon Kim (Neural Networks, 2023)

Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks. - Yoonhyuk Choi; Jiho Choi; Taewook Ko; Chong-Kwon Kim (CoRR, 2024)

Selective Blocking for Message-Passing Neural Networks on Heterophilic Graphs. - Yoonhyuk Choi; Taewook Ko; Jiho Choi; Chong-Kwon Kim (UAI, 2025)

Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation. - Yoonhyuk Choi; Jiho Choi; Taewook Ko; Chong-Kwon Kim (WSDM, 2025)

Review-Based Hyperbolic Cross-Domain Recommendation. - Yoonhyuk Choi; Jiho Choi; Taewook Ko; Chong-Kwon Kim (WSDM, 2025)

Beyond Message-Passing: Generalization of Graph Neural Networks via Feature Perturbation for Semi-Supervised Node Classification. - Yoonhyuk Choi; Jiho Choi; Taewook Ko; Chong-Kwon Kim (IEEE Trans. Neural Networks Learn. Syst., 2025)